Image processing device, image processing method, and program

ABSTRACT

To provide navigation to a destination to a user even in a state in which acquisition of a current position via a positioning module is difficult. There is provided an image processing device including: an image acquisition unit configured to acquire an image onto which a real object including a visual recognition target is projected; a recognition unit configured to recognize relative arrangement of a terminal that has captured the image to the real object by executing image recognition of the recognition target; and a control unit configured to display a display object indicating a direction toward a destination of a user on a screen of the terminal on the basis of the relative arrangement of the terminal recognized by the recognition unit.

CROSS REFERENCE TO PRIOR APPLICATION

This application is a continuation of U.S. patent application Ser. No.14/896,025 (filed on Dec. 4, 2015), which is a National Stage PatentApplication of PCT International Patent Application No.PCT/JP2014/059809 (filed on Apr. 3, 2014) under 35 U.S.C. § 371, whichclaims priority to Japanese Patent Application No. 2013-126617 (filed onJun. 17, 2013), which are all hereby incorporated by reference in theirentire

TECHNICAL FIELD

The present disclosure relates to an image processing device, an imageprocessing method, and a program.

BACKGROUND ART

Various navigation services for guiding a user to some destination havebeen implemented so far. Navigation is normally performed on the basisof knowledge regarding a position of a destination and a currentposition of the user. In order to acquire the current position of theuser, many navigation services use a positioning module, such as aglobal positioning system (GPS) module or PlaceEngine (registeredtrademark), which is included in a terminal held by the user.

Patent Literature 1 proposes that a specified object corresponding to aplace serving as a destination e.g., buildings or facilities) beemphasized in an image so that a user can easily find the place servingas the destination on a screen of a terminal. Also in Patent Literature1, a current position of the user is acquired via a GPS module.

CITATION LIST Patent Literature

Patent Literature JP 2012-079129A

SUMMARY OF INVENTION Technical Problem

However, not all terminals include a positioning module. Further, evenin the case where a terminal includes a positioning module, it isdifficult to acquire a current position via the positioning module in anenvironment in which the terminal cannot receive a radio signal forpositioning.

Therefore, it is desirable to achieve a mechanism capable of providingnavigation to a destination to a user even in a state in whichacquisition of a current position via a positioning module is difficult.

Solution to Problem

According to the present disclosure, there is provided an imageprocessing device including: an image acquisition unit configured toacquire an image onto which a real object including a visual recognitiontarget is projected; a recognition unit configured to recognize relativearrangement of a terminal that has captured the image to the real objectby executing image recognition of the recognition target; and a controlunit configured to display a display object indicating a directiontoward a destination of a user on a screen of the terminal on the basisof the relative arrangement of the terminal recognized by therecognition unit.

According to the present disclosure, there is provided an imageprocessing method executed by an image processing device, the imageprocessing method including: acquiring an image onto which a real objectincluding a visual recognition target is projected; recognizing relativearrangement of a terminal that has captured the image to the real objectby executing image recognition of the recognition target; and displayinga display object indicating a direction toward a destination of a useron a screen of the terminal on the basis of the recognized relativearrangement of the terminal.

According to the present disclosure, there is provided a program causinga computer that controls an image processing device to function as: animage acquisition unit configured to acquire an image onto which a realobject including a visual recognition target is projected; a recognitionunit configured to recognize relative arrangement of a terminal that hascaptured the image to the real object by executing image recognition ofthe recognition target; and a control unit configured to display adisplay object indicating a direction toward a destination of a user ona screen of the terminal on the basis of the relative arrangement of theterminal recognized by the recognition unit.

Advantageous Effects of Invention

According to a technique of the present disclosure, it is possible toprovide navigation to a destination to a user even in a state in whichacquisition of a current position via a positioning module is difficult.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is an explanatory view illustrating outline of a device accordingto an embodiment.

FIG. 2 is an explanatory view illustrating an example of a real objectincluding a recognition target.

FIG. 3 is an explanatory view illustrating a principle of navigation inan embodiment.

FIG. 4 is a block diagram showing an example of a hardware configurationof an image processing device according to an embodiment.

FIG. 5 is a block diagram showing an example of a configuration oflogical functions of an image processing device according to anembodiment.

FIG. 6A is an explanatory view illustrating a first example of aconfiguration of recognition dictionary data.

FIG. 6B is an explanatory view illustrating a second example of aconfiguration of recognition dictionary data.

FIG. 7 is an explanatory view illustrating additional code arrangementdata exemplified in FIG. 6B.

FIG. 8A is an explanatory view illustrating a first example of aconfiguration of object arrangement data.

FIG. 8B is an explanatory view illustrating a second example of aconfiguration of object arrangement data.

FIG. 9 is an explanatory view illustrating an example of a change in anoutput image depending on a change in a posture of a terminal.

FIG. 10 is an explanatory view illustrating how the output imageexemplified in FIG. 9 appears to a user.

FIG. 11 is an explanatory view illustrating an example of tracking ofarrangement of a terminal, the tracking being performed because ofmovement of the terminal.

FIG. 12A is an explanatory view illustrating a first example of a windowfor allowing a user to select a destination.

FIG. 12B is an explanatory view illustrating a second example of awindow for allowing a user to select a destination.

FIG. 12C is an explanatory view illustrating a third example of a windowfor allowing a user to select a destination.

FIG. 13A is a first explanatory view illustrating some examples ofdisplay objects that can be displayed in an embodiment.

FIG. 13B is a second explanatory view illustrating some examples ofdisplay objects that can he displayed in an embodiment.

FIG. 13C is a third explanatory view illustrating some examples ofdisplay objects that can be displayed in an embodiment.

FIG. 13D is a fourth explanatory view illustrating some examples ofdisplay objects that can be displayed in an embodiment.

FIG. 14 is a flowchart showing an example of a flow of image processingaccording to an embodiment.

FIG. 15A is a flowchart showing a first example of a detailed flow ofterminal arrangement determination processing shown in FIG. 14.

FIG. 15B is a flowchart showing a second example of a detailed flow ofterminal arrangement determination processing shown in FIG. 14.

FIG. 15C is a flowchart showing a third example of a detailed flow ofterminal arrangement determination processing shown in FIG: 14.

FIG. 16A is a flowchart showing a first example of a detailed flow ofdestination direction determination processing shown in FIG. 14.

FIG. 16B is a flowchart showing a second example of a detailed flow ofdestination direction determination processing shown in FIG. 14.

FIG. 17 is an explanatory view illustrating some examples of displayobjects that can be displayed in an application example of a stamprally.

FIG. 18 is an explanation view illustrating a modification example of animage processing device.

FIG. 19 is an explanatory view illustrating sonic examples of displayobjects that can be displayed in the modification example of FIG. 18.

FIG. 20 is an explanatory view illustrating a link between a pluralityof devices.

DESCRIPTION OF EMBODIMENTS

Hereinafter, preferred embodiments of the present disclosure will bedescribed in detail with reference to the appended drawings. Note that,in this specification and the appended drawings, structural elementsthat have substantially the same function and structure are denoted withthe same reference numerals, and repeated explanation of thesestructural elements is omitted.

Further, description will be provided in the following order.

1. Outline

2. Configuration example of image processing device

-   -   2-1. Hardware configuration    -   2-2. Functional configuration    -   2-3. Flow of processing

3. Application examples

-   -   3-1. Stamp rally    -   3-2. Use of HMD    -   3-3. Link between a plurality of devices

4. Conclusion

1. Outline

Outline of a device according to the present disclosure will bedescribed with reference to FIG. 1 to FIG. 3.

FIG. 1 is an explanatory view illustrating outline of a device accordingto an embodiment. FIG. 1 illustrates an image processing device 100 thata user Ua brings. The image processing device 100 includes a camera 102for capturing an image of a real space 1 and a display 110. In theexample of FIG. 1, a real object 10 exists in the real space 1. Thecamera 102 of the image processing device 100 generates a series ofimages forming a video onto which the real object 10 is projected bycapturing an image of the real object 10. Then, the image processingdevice 100 performs image processing with respect to the captured imagegenerated by the camera 102 as an input image and generates an outputimage. In this embodiment, the output image is typically generated bysuperimposing a navigation display object on the input image. Thedisplay 110 of the image processing device 100 sequentially displaysgenerated output images. Note that the real space 1 illustrated in FIG.1 is merely an example. The image processing device 100 may process animage onto which any real object is projected.

In FIG. 1, a smartphone is illustrated as an example of the imageprocessing device 100. However, the image processing device 100 is notlimited to the example. The image processing device 100 may be a mobiledevice such as a tablet personal computer (PC), a notebook PC, aportable game terminal, a portable navigation device (PND), or a digitalcamera. Alternatively, the image processing device 100 may be a wearabledevice such as a head mounted display (HMD) terminal.

In a technique according to the present disclosure, an image onto whicha visual recognition target of a real object is projected is acquired asan input image. The recognition target herein may be a known figure,mark, character string, or design existing in external appearance of thereal object, or an arbitrary combination thereof. The recognition targetmay include a visual code (e.g., barcode or CyberCode (registeredtrademark)) in which some information is encoded. The image processingdevice 100 stores feature data of the recognition target in advance andrecognizes arrangement (arrangement relative to image pickup surface) ofthe recognition target projected onto the input image with the use ofthe feature data. In this specification, the term “arrangement” includesat least one of a position (parallel movement), a posture (rotation),and a size (scaling) in a two-dimensional or three-dimensionalcoordinate system. The feature data may include, for example, data of aset of feature points extracted from a known image of the recognitiontarget. Further, the feature data may include data of a shape and a sizeof a known figure pattern.

FIG. 2 is an explanatory view illustrating an example of the real objectincluding the recognition target. in the example of FIG. 2, the realobject 10 is a direction board placed in public facilities such as astation. The direction board 10 includes a recognition target 11 thatcan be printed on or attached to a surface thereof. The recognitiontarget 11 has a figure resembling an alphabet “i” and a black-and-whiteframe surrounding the figure. The image processing device 100 canrecognize how the recognition target 11 is arranged in an input imageby, for example, matching a plurality of feature points extracted fromthe input image with a set of feature points of the recognition target11 stored in advance.

The direction board 10 includes a destination list 15 on the surfacethereof. By reading the destination list 15, a user can know main spotsexisting in the vicinity of a place where the direction board 10 isplaced. However, the destination list 15 does not indicate a directionin which each spot exists. Even if the direction board 10 has a map anda position of each spot is shown on the map, it is difficult tointuitively express a direction toward a destination on atwo-dimensional map (which is vertically posted in most cases).Therefore, the user is forced to perform mapping of a direction on themap and a direction in the real space in his/her head. In order to solvesuch inconvenience, some navigation services acquire a current positionof a terminal via a positioning module included in the terminal, such asa GPS module and acquire a posture of the terminal via a sensor, therebyguiding a user to a destination. However, not all terminals include apositioning module. Further, even in the case where a terminal includesa positioning module, it is difficult to acquire a current position viathe positioning module in an environment in which the terminal cannotreceive a radio signal for positioning (e.g., the interior of abuilding, an underground space, or the inside of a tunnel). Meanwhile,in this embodiment, arrangement of the terminal is determined on thebasis of the above-mentioned image recognition executed with respect tothe recognition target 11, and navigation for guiding a user to adestination in accordance with a determination result thereof isprovided. Therefore, there is no need to depend on the positioningmodule.

FIG. 3 is an explanatory view illustrating a principle of navigation inan embodiment. FIG. 3 illustrates the real object 10 including therecognition target, a selected destination 50, and the image processingdevice 100 for capturing an image of the real object 10. Because thereal object 10 and the destination 50 are geographically fixed, arelative position RA_(sd) of the destination 50 to the real object 10 isknown. Note that a posture and a size of the destination 50 do notinfluence navigation, and therefore the term “position” is used hereininstead of “arrangement”. A relative arrangement RA_(su) of the imageprocessing device 100 to the real object 10 is determined on the basisof image recognition of the recognition target that the real objectincludes. Then, a relative position RA_(ud) of the destination 50 to theimage processing device 100, which has been unknown, is obtained withthe use of the relative arrangement RA_(su) of the image processingdevice 100 to the real object 10 and the relative position RA_(sd) ofthe destination 50 to the real object 10. The image processing device100 can display, for example, a navigation display object correspondingto the relative position RA_(ud) on a screen thereof.

Note that the real object is not limited to the examples of FIG. 2 andFIG. 3 and any real object existing in the real space may include arecognition target. For example, a recognition target may be printed onor attached to a floor map of a commercial building, an advertisingboard, a poster for an event, or the like, or a recognition target maybe electronically displayed by digital signage. In the next section,there will be described an example of a specific configuration of theimage processing device 100 for achieving the above-mentioned mechanism.

2. Configuration Example of Image Processing Device 2-1. HardwareConfiguration

FIG. 4 is a block diagram showing an example of a hardware configurationof the image processing device 100 according to an embodiment. Whenreferring to FIG. 4, the image processing device 100 includes the camera102, a positioning module 104, an input interface 106, a memory 108, thedisplay 110, a communication interface 112, a sensor module 114, a bus116, and a processor 118.

(1) Camera

The camera 102 is an image pickup module for capturing an image. Thecamera 102 captures an image of a real object with the use of an imagepickup element such as a charge coupled device (CCD) or a complementarymetal oxide semiconductor (CMOS) and generates a captured image. Aseries of captured images generated by the camera 102 forms a video.

(2) Positioning Module

The positioning module 104 may be a global positioning system (GPS)module, PlaceEngine (registered trademark), or the like. The positioningmodule 104 receives a radio signal for positioning in an environment inwhich the positioning module can receive the radio signal, therebyacquiring a geographical position of the image processing device 100.Then, the positioning module 104 generates positioning data indicatingthe acquired geographical position. In this specification, thegeographical position means an absolute position in a global coordinatesystem. Note that the positioning module 104 may be omitted from theconfiguration of the image processing device 100.

(3) Input Interface

The input interface 106 is an input device used for allowing a user tooperate the image processing device 100 or to input information to theimage processing device 100. The input interface 106 may include, forexample, a touch sensor for detecting touch by the user on a screen ofthe display 110. The input interface 106 may also include an inputdevice such as a keyboard, a keypad, a button, or a switch. The inputinterface 106 may also include a microphone for voice input and a voicerecognition module.

(4) Memory

The memory 108 is a storage medium such as a semiconductor memory or ahard disk. The memory 108 stores a program and data for processing usingthe image processing device 100. The data stored by the memory 108 canencompass, for example, captured image data, positioning data, sensordata, and data in various databases (DBs) described below Note that theprogram and the data described in this specification may be partiallyacquired from an external data source (e.g., data server, networkstorage, or external memory), instead of being stored in the memory 108.

(5) Display

The display 110 is a display module including a screen for displaying animage. The display 110 may be, for example, a liquid crystal display(LCD), an organic light-emitting diode (OLED), or a cathode ray tube(CRT). The display 110 displays, for example, an output image on which anavigation display object is superimposed, the output image beinggenerated by the image processing device 100.

(6) Communication Interface

The communication interface 112 is a communication interface formediating communication between the image processing device 100 andanother device. The communication interface 112 supports an arbitrarywireless communication protocol or wired communication protocol andestablishes communication connection with another device.

(7) Sensor Module

The sensor module 114 can include a sensor group including a gyrosensor, a geomagnetic sensor, an acceleration sensor, and the like. Thesensor module 114 measures, for example, a posture of the imageprocessing device 100. The sensor module 114 also measures movement ofthe image processing device 100. Then, the sensor module 114 generatessensor data indicating the measured posture and movement. The sensordata generated by the sensor module 114 can be used for tracking achange in arrangement of the image processing device 100. Note that thesensor module 114 may be omitted from the configuration of the imageprocessing device 100.

(8) Bus

The bus 116 connects the camera 102, the positioning module 104, theinput interface 106, the memory 108, the display 110, the communicationinterface 112, the sensor module 114, and the processor 118 to oneanother.

(9) Processor

The processor 118 corresponds to a processor such as a centralprocessing unit (CPU) or a digital signal processor (DSP). The processor118 executes a program stored in the memory 108 or another storagemedium, thereby operating various functions of the image processingdevice 100 described below.

2-2. Functional Configuration

FIG. 5 is a block diagram showing an example of a configuration oflogical functions achieved by the memory 108 and the processor 118 ofthe image processing device 100 shown in FIG. 4. When referring to FIG.5, the image processing device 100 includes an image acquisition unit140, a recognition database (DB) 150, a recognition unit 160, an objectarrangement DB 170, and a control unit 180.

(1) Image Acquisition Unit

The image acquisition unit 140 acquires, as an input image, an imagecaptured by the camera 102. The input image is typically each frame of aseries of frames forming a moving image. In this embodiment, the inputimage is an image onto which a real object including a visualrecognition target is projected. Then, the image acquisition unit 140outputs the acquired input image to the recognition unit 160 and thecontrol unit 180.

(2) Recognition DB

The recognition DB 150 is a database for storing recognition dictionarydata used by the recognition unit 160 described below. The recognitiondictionary data includes feature data defining a feature of each of oneor more recognition targets. In a certain example, the recognitiondictionary data can include additional code arrangement data definingarrangement of an additional code that the real object additionallyincludes.

FIG. 6A is an explanatory view illustrating a first example of aconfiguration of the recognition dictionary data that can be stored bythe recognition DB 150. When referring to FIG. 6A, recognitiondictionary data 151 a includes a code ID 152 and feature data 153. Thecode ID 152 is an identifier for uniquely identifying a recognitiontarget. The feature data 153 defines a known feature of each recognitiontarget. The feature data 153 may define a set of feature valuesextracted from a known image of the recognition target in advance. As anexample, the set of the feature values may include position coordinatesof a plurality of feature points in a local coordinate system of thereal object and brightness of each feature point. The feature data 153may also define a shape and a size of a known pattern.

FIG. 6B is an explanatory view illustrating a second example of theconfiguration of the recognition dictionary data that can be stored bythe recognition DB 150. When referring to FIG. 6B, recognitiondictionary data 151 b includes the code ID 152, the feature data 153,and additional code arrangement data 154. The additional codearrangement data 154 includes a code type 155, a position offset 156,rotation 157, and a size 158. The code type 155 defines a type of anadditional code (e.g., barcode or CyberCode (registered trademark)). Theposition offset 156 defines offset of a reference position of theadditional code from a reference position of the recognition target(e.g., an origin in the local coordinate system). The rotation 157defines a rotation amount of the additional code (e.g., a rotationamount of the real object on the surface) around the reference position.The size 158 defines a size of the additional code.

FIG. 7 is an explanatory view illustrating the additional codearrangement data 154 exemplified in FIG. 6B. In FIG. 7, star marksindicate positions of a plurality of feature points of the recognitiontarget 11, such as a feature point FP1, in a local coordinate systemC_(Local). A position coordinate OF1 is a vector value defined by theposition offset 156 and is equal to a coordinate of an upper left vertexof a bounding box surrounding the additional code in the localcoordinate system C_(Local). The additional code is not rotated in theexample of FIG. 7, and therefore the rotation 157 can define a rotationamount of zero. A width W and a height H of the bounding box surroundingthe additional code can be defined by the size 158.

(3) Recognition Unit

The recognition unit 160 recognizes relative arrangement of the terminalthat has captured an input image to the real object including therecognition target by executing image recognition of the recognitiontarget. In this embodiment, the terminal that has captured the inputimage is the image processing device 100. The recognition unit 160 may,for example, recognize the recognition target projected onto the inputimage by matching an image feature value extracted from the input imagewith a set of known feature values stored by the recognition DB 150. Therecognition unit 160 may also recognize the recognition target projectedonto the input image by matching a pattern included in the input imagewith a known pattern stored by the recognition DB 150. Further, therecognition unit 160 recognizes how the recognition target is arrangedin the input image on the basis of a positional relationship between aplurality of detected feature points or a shape and a size of thedetected pattern.

As a result of the image recognition, the recognition unit 160 generatesa parameter expressing relative arrangement of the recognition target toan image pickup surface. As an example, the parameter generated by therecognition unit 160 may be a homogeneous transformation matrix in athree-dimensional screen coordinate system corresponding to the imagepickup surface and a depth thereof. The homogeneous transformationmatrix practically expresses the relative arrangement of the imageprocessing device 100 to the real object. The recognition unit 160outputs, to the control unit 180, an identifier (code ID) of therecognized recognition target and a corresponding parameter (e.g.,homogeneous transformation matrix).

Further, in the case where information is encoded in the detectedrecognition target or the additional code added to a surface of the realobject in association with the recognition target, the recognition unit160 may decode the encoded information from the recognition target orthe additional code. The information decoded by the recognition unit 160may include identification information of the recognition target (or thereal object) that can be used for a query to a data server. Further, theinformation decoded by the recognition unit 160 may include objectarrangement data indicating at least one of geographical arrangement ofthe real object and a position of a destination as described below. Inthe case where the information is encoded in the additional code, therecognition unit 160 specifies a region where the additional code existsin accordance with the additional code arrangement data 154 exemplifiedin FIG. 6B. Then, the recognition unit 160 executes recognitionprocessing corresponding to a code type of the additional code (e.g.,reading of a barcode) with respect to a partial image of the specifiedregion. As a result, it is possible to decode the information encoded bythe additional code. Note that the object arrangement data may beacquired from an external data server with the use of the identificationinformation of the real object, instead of being decoded from therecognition target or the additional code.

(4) Object Arrangement DB

The object arrangement DB 170 is a database for storing objectarrangement data. The object arrangement data can be used fordetermining a direction toward a destination by the control unit 180described below

FIG. 8A is an explanatory view illustrating a first example of aconfiguration of the object arrangement data. When referring to FIG. 8A,object arrangement data 171 a includes an object ID 172 a, a type 173, aname 174, a geographical position 175, and a posture 176. The object ID172 a is an identifier for identifying each candidate for the realobject including the recognition target and for the destination. Thetype 173 identifies which kind of object each object is (e.g., acandidate for a direction board or destination). The name 174 defines adisplay name of each object. The geographical position 175 defines aposition (e.g., latitude, longitude, and altitude) of each object in theglobal coordinate system. The posture 176 defines a posture of eachobject in the global coordinate system. Note that, regarding thecandidates for the destination, values of the posture 176 may beomitted.

FIG. 89 is an explanatory view illustrating a second example of theconfiguration of the object arrangement data. When referring to FIG. 8B,object arrangement data 171 b includes a code ID 172 b, the name 174, adestination ID 177, a destination name 178, and relative arrangement179. The code ID 172 b is an identifier for identifying each real objectincluding a recognition target (or each recognition target). Thedestination ID 177 is an identifier for identifying each candidate forthe destination. In the example of FIG. 8B, one or more candidates forthe destination are associated with a single recognition target. Thedestination name 178 defines a display name of each candidate for thedestination. The relative arrangement 179 defines relative arrangementof each candidate for the destination to an associated real object. Therelative arrangement 179 may be strictly defined with the use of acoordinate value or may be roughly defined with the use of simpledivision values such as east, south, west, north, up, and down.

The above-mentioned object arrangement data may be stored by the objectarrangement DB 170 in advance. Further, a part of all of the objectarrangement data may be dynamically acquired from an external dataserver. Further, as described above, the part or all of the objectarrangement data may be decoded by the recognition unit 160 from therecognition target or the additional code associated with therecognition target.

(5) Control Unit

The control unit 180 displays a display object indicating a directiontoward a destination of the user on the screen of the display 110 on thebasis of the relative arrangement of the image processing device 100 tothe real object, the relative arrangement being recognized by therecognition unit 160.

The control unit 180 may determine, for example, the direction towardthe destination on the basis of the relative arrangement of theterminal, which is recognized by the recognition unit 160, and thegeographical arrangement of the real object and the geographicalposition of the destination, which are indicated by the objectarrangement data. More specifically, for example, the control unit 180determines geographical arrangement of the terminal on the basis of thegeographical arrangement (e.g., latitude, longitude, altitude, anddirection) of the real object and the relative arrangement of theterminal to the real object. Further, in the case where the geographicalposition of the destination can be obtained, the control unit 180 candetermine a vector corresponding to the direction toward the destinationin the screen coordinate system of the terminal.

Instead of this, the control unit 180 may determine the direction towardthe destination on the basis of the relative arrangement of the terminalrecognized by the recognition unit 160 and a relative position of thedestination to the real object, the relative position being indicated bythe object arrangement data. More specifically, for example, the controlunit 180 can determine a vector corresponding to the direction towardthe destination in the screen coordinate system of the terminal byadding the relative position of the destination to the real object tothe relative arrangement of the real object to the terminal.

By dynamically determining the direction toward the destination on thebasis of the image recognition as described above, it is possible tointuitively present the direction toward the destination to the user onthe screen with the use of the display object.

FIG. 9 is an explanatory view illustrating an example of a change in anoutput image depending on a change in a posture of the terminal. Anupper left part of FIG. 9 illustrates a positional relationship betweenthe direction board 10 and the image processing device 100 at a certainpoint, and the image pickup surface of the image processing device 100faces the direction board 10. The recognition unit 160 executes imagerecognition of the recognition target on the surface of the directionhoard 10 and generates the parameter RA_(SU) expressing the relativearrangement of the image processing device 100 to the direction board10. A lower left part of FIG. 9 illustrates an output image Im01 as anexample. A navigation display object N01 indicating a direction toward adestination is superimposed on the output image Im01. The control unit180 determines the direction RA_(ud) of the display object N01 inaccordance with the parameter RA_(SU). A display object H01 expresses ahorizontal surface to assist the user to grasp a three-dimensionaldirection of the display object N01. An upper right part of FIG. 9illustrates the positional relationship between the direction board 10and the image processing device 100 at some point thereafter, and theimage processing device 100 is inclined so that the image pickup surfacebecomes more horizontal. A parameter RA_(SU)′ expresses the relativearrangement of the image processing device 100 to the direction board 10at this point. A lower right part of FIG. 9 illustrates an output imageIm02 as an example. A display object N02 having a direction RA_(ud)′that is determined in accordance with the parameter RA_(SU)′ issuperimposed on the output image Im02. A display object H02 expresses ahorizontal surface.

FIG. 10 is an explanatory view illustrating how the output imageexemplified in FIG. 9 appears to the user. In a left part of FIG. 10,the display object N01 superimposed on the output image Im01 indicates aleft-forward direction seen from the user. In a right part of FIG. 10,the display object N02 superimposed on the output image Im02 stillindicates the left-forward direction seen from the user, regardless ofthe change in the posture of the terminal. Therefore, the user canintuitively know the direction in which the destination exists in thereal space even in the case where the terminal is moved.

After the recognition target that has been recognized once deviates froman angle of view, the control unit 180 may continuously display thenavigation display object on the screen by tracking the relativearrangement of the terminal with the use of sensor data from the sensormodule 114. For example, the control unit 180 can track a change in aposition of the terminal by adding up acceleration of the terminalmeasured by the acceleration sensor. Further, the control unit 180 cantrack the change in the posture of the terminal by adding up rotation ofthe terminal measured by the gyro sensor. Furthermore, the control unit180 can track the posture of the terminal with the use of sensor datafrom the geomagnetic sensor. Still further, in the case where thepositioning module 104 is usable, the control unit 180 may correctarrangement of the tracked terminal with the use of positioning datafrom the positioning module.

FIG. 11 is an explanatory view illustrating an example of tracking ofarrangement of the terminal, the tracking being performed because ofmovement of the terminal. FIG. 11 illustrates a state in which the userUa bringing the image processing device 100 moves at times t=T11, T12,T13, and T14. At the time T11, the direction board 10 exists in an angleof view G11 of the image processing device 100, and therefore thecontrol unit 180 can determine arrangement of the image processingdevice 100 on the basis of a result of image recognition executed by therecognition unit 160. At the time T12, the direction board 10 exists inan angle of view G12 of the image processing device 100 while the userUa moves, and therefore the control unit 180 can still determine thearrangement of the image processing device 100 on the basis of theresult of the image recognition. The user Ua further moves, and, as aresult, at the time T13, the recognition target does not exist in anangle of view G13 of the image processing device 100. In this case, thecontrol unit 180 continuously displays the navigation display object onthe screen by tracking the arrangement of the image processing device100 with the use of sensor data, thereby providing a navigation serviceto the user. However, accuracy of tracking using the sensor data can bereduced as a duration time thereof becomes long. The user Ua moves fromthe interior of a building to the outside thereof, and, as a result, atthe time 114, the positioning module 104 becomes usable. Then, thecontrol unit 180 corrects the arrangement of the tracked imageprocessing device 100 by acquiring a geographical position of the imageprocessing device 100 via the positioning module 104. The posture of theimage processing device 100 may also be corrected with the use of thesensor data. Such tracking and correction make it possible to provide acontinuous navigation service and reinforce usability for the user.

The control unit 180 may allow the user to select a destination to benavigated by displaying, on the screen, a list or map of destinationcandidates associated with a recognized real object. Instead of this,the control unit 180 may allow the user to select a destination to benavigated in advance. Further, in the case where a single destination isnot selected by the user, the control unit 180 may display, on thescreen, a plurality of display objects indicating respective directionstoward the plurality of destination candidates associated with therecognized real object.

FIG. 12A to FIG. 12C illustrate respective examples of a window forallowing a user to select a destination. In a first example illustratedin FIG. 12A, a destination selection window W1 includes checkboxes CB11and a button B12. The checkboxes CB11 illustrate a list of destinationcandidates (existing, for example, in the vicinity of a place where adirection board is placed) associated with a real object recognized bythe recognition unit 160. The user checks any one of the candidates inthe checkbox CB11 and taps the button B12. Thus, a destination to benavigated is selected.

In a second example illustrated in FIG. 12B, a destination selectionwindow W2 includes checkboxes CB13, a button B14, and a button B15. Thecheckboxes CB13 illustrate a list of some of all destination candidates.The user may select a desired destination by checking any one of thecandidates in the checkboxes CB13 and then tapping the button B14.Instead of this, the user may go to the next page by tapping the buttonB15 so as to cause the destination selection window W2 to display someother destination candidates in the list. Note that, in the destinationselection window W2, the destination candidates may be grouped for, forexample, each nearest station, and destination candidates to be listedmay be filtered by selecting the nearest station.

In a third example illustrated in FIG. 12C, a destination selectionwindow W3 includes a map in the vicinity of a geographical position of areal object recognized by the recognition unit 160 and a plurality oficons plotted on the map. An icon IC 16 indicates a current location(i.e., the geographical position of the recognized real object). An iconIC 17 indicates one of positions of destination candidates. The user canselect a destination to be navigated by tapping an icon corresponding toa desired destination.

An output image for navigation can include various display objects forimproving usability. FIG: 13A to FIG. 13D illustrate some examples ofdisplay objects that can be displayed in an embodiment.

In a first example of FIG. 13A, display objects N11 and H11 andauxiliary display objects J11, J12, J13, J14, and J15 are superimposedon an output image Im11. The display object N11 indicates a directiontoward a destination from a current location. The display object H11 isan object expressing a horizontal surface. The auxiliary display objectJ11 is an object expressing a sight of image recognition. The auxiliarydisplay object J12 is an icon expressing the current location. Theauxiliary display object J13 is an icon expressing the destination. Theauxiliary display object J14 is a slider for allowing a user to change ascale for displaying the current location, the destination, and otherplaces. The auxiliary display object J15 is an icon expressing a spotother than the destination (e.g., a direction board or a destinationcandidate that is not selected).

In a second example of FIG. 13B, a display object N12 and auxiliarydisplay objects J12, J13, and J16 are superimposed on an output image .The display object N12 indicates a direction toward a destination from acurrent location. However, the display object N12 indicates thedirection along a nonlinear route (e.g., a street along which the usercan pass) toward the destination, whereas the display object N11exemplified in FIG. 13A indicates a linear direction toward thedestination. The auxiliary display object J16 indicates a detectionposition of the recognition target 11 in an input image. By visuallyrecognizing the auxiliary display object J16, the user can know that therecognition target has been successfully recognized and can know whichpart of the image should be captured to achieve highly accuratenavigation.

A third example of FIG. 13C illustrates an output image Im13 that can bedisplayed while tracking using sensor data is continued. A displayobject N13, auxiliary display objects J13, J17, and J18, and a messageM11 are superimposed on the output image Im13. The display object N13indicates a direction toward a destination from a current location.However, an outline of the display object N13 is thin. This indicates,to the user, that there is a possibility that accuracy of tracking isreduced. The auxiliary display objects J17 and J18 are icons each ofwhich expresses a position of a direction board (a real object includinga recognition target) existing in the vicinity of an estimated currentlocation. The message M11 proposes that the user hold a camera over anearby direction board.

A fourth example of FIG. 13D illustrates an output image Im14 showing acase where a plurality of destinations are navigated. Display objectsN11 a, N11 b, and N11 c and auxiliary display objects J13 a, J13 b, andJ13 c are superimposed on the output image Im14. The display object N11a indicates a direction toward a first destination from a currentlocation. The auxiliary display object J13 a is an icon expressing thefirst destination. The display object N11 b indicates a direction towarda second destination from the current location. The auxiliary displayobject J13 b is an icon expressing the second destination. The displayobject N11 c indicates a direction toward a third destination from thecurrent location. The auxiliary display object J13 c is an iconexpressing the third destination.

Various display objects exemplified in FIG. 13A to FIG. 13D may bedisplayed on the screen in any combination.

2-3. Flow of Processing (1) Overall Flow

FIG. 14 is a flowchart showing an example of a flow of image processingexecuted by the image processing device 100 according to thisembodiment. The processing shown in FIG. 14 is repeated for each of aseries of input images captured by the camera 102.

When referring to FIG. 14, first, the image acquisition unit 140acquires, from the camera 102, an input image onto which a real objectincluding a visual recognition target is projected (Step S100). Then,the image acquisition unit 140 outputs the acquired input image to therecognition unit 160 and the control unit 180.

Then, the recognition unit 160 executes image recognition of therecognition target with the use of recognition dictionary data stored bythe recognition DB 150 (Step S102). Then, the recognition unit 160determines whether or not the recognition target has been detected inthe input image (Step S104). In the case where the recognition targethas been detected, the processing proceeds to Step S110. On thecontrary, in the case where the recognition target has not beendetected, the processing proceeds to Step S130.

In the case where the recognition target has been detected, therecognition unit 160 recognizes a position and a posture of a terminalat that point by executing terminal arrangement determination processing(Step S110). Some examples of a detailed flow of the terminalarrangement determination processing executed herein will be furtherdescribed below.

In the case where the recognition target has not been detected, thecontrol unit 180 determines whether or not the positioning module 104 isusable (Step S130). In the case where the positioning module 104 isusable, the control unit 180 acquires a geographical position of theimage processing device 100 via the positioning module 104 (Step S132).Further, the control unit 180 acquires, from the sensor module 114,sensor data indicating the posture of the image processing device 100(Step S134).

In the case where the positioning module 104 is not usable, the controlunit 180 determines whether or not tracking of arrangement of the imageprocessing device 100 is continued (Step S136). Tracking of thearrangement can he terminated in response to various events such as aclear instruction from a user, elapse of a predetermined time periodfrom a point at which the recognition target has been previouslydetected, detection of movement exceeding a threshold, or arrival at adestination. In the case where it is determined that tracking of thearrangement is not continued, the process returns to Step S100, and theabove-mentioned processing is repeatedly performed with respect to thenext input image. In the case where it is determined that tracking ofthe arrangement is continued, the control unit 180 tracks thearrangement of the image processing device 100 with the use of thesensor data from the sensor module 114 by adding up a change in thearrangement of the image processing device 100 from a point at which therecognition target has been previously detected (Step S138).

In the case where the arrangement of the image processing device 100 inStep 5110, Step S134, or Step S138 at that point is determined, thecontrol unit 180 determines a direction toward a destination in thescreen coordinate system of the image processing device 100 by executingdestination direction determination processing (Step 5140). Someexamples of a detailed flow of the destination direction determinationprocessing executed herein will be further described below

Next, the control unit 180 generates a navigation display objectindicating the determined direction (Step S162). The control unit 180may further generate one or more auxiliary display objects that canexpress a horizontal surface, a current location, a destination, a sightof recognition, or the like. Then, the control unit 180 generates anoutput image by superimposing an image of the generated display objecton the input image and displays the generated output image on the screenof the display 110 (Step S164). Thereafter, the processing returns toStep S100, and the above-mentioned processing is repeatedly performedwith respect to the next input image.

(2-1) Terminal Arrangement Determination Processing—First Example

FIG. 15A is a flowchart showing a first example of a detailed flow ofthe terminal arrangement determination processing shown in FIG. 14. Inthe first example, object arrangement data is acquired from an externaldata server.

When referring to FIG. 15A, first, the recognition unit 160 calculatesrelative arrangement of the image processing device 100 to therecognized real object on the basis of a result of matching of an imagefeature value extracted from the input image or a pattern included inthe input image with feature data included in the recognition dictionarydata (Step S112).

Next, the recognition unit 160 transmits a data request to the externaldata server with the use of identification information of the recognizedreal object and therefore acquires object arrangement data indicatinggeographical arrangement of the real object from the data server (StepS116). Then, the recognition unit 160 stores the acquired objectarrangement data in the object arrangement DB 170.

Next, the recognition unit 160 determines geographical arrangement ofthe image processing device 100 on the basis of the geographicalarrangement of the real object indicated by the acquired objectarrangement data and the relative arrangement of the image processingdevice 100 to the real object (Step 122)

Note that, in the case where the geographical arrangement of the imageprocessing device 100, i.e., an absolute position and an absoluteposture of the terminal in the global coordinate system are not neededfor navigation, the processing of Step S122 may be omitted.

(2-2) Terminal Arrangement Determination Processing—Second Example

FIG. 15B is a flowchart showing a second example of the detailed flow ofthe terminal arrangement determination processing shown in FIG. 14. Inthe second example, object arrangement data is decoded from a detectedrecognition target.

When referring to FIG. 15B, first, the recognition unit 160 calculatesrelative arrangement of the image processing device 100 to therecognized real object on the basis of a result of matching of an imagefeature value extracted from the input image or a pattern included inthe input image with feature data included in the recognition dictionarydata (Step S112).

Next, the recognition unit 160 decodes object arrangement data encodedin the recognition target and therefore acquires the object arrangementdata indicating geographical arrangement of the real object includingthe recognition target (Step S118). Then, the recognition unit 160stores the acquired object arrangement data. in the object arrangementDB 170.

Next, the recognition unit 160 determines geographical arrangement ofthe image processing device 100 on the basis of the geographicalarrangement of the real object indicated by the acquired objectarrangement data and the relative arrangement of the image processingdevice 100 to the real object (Step S122).

(2-3) Terminal Arrangement Determination Processing—Third Example

FIG. 15C is a flowchart showing a third example of the detailed flow ofthe terminal arrangement determination processing shown in FIG. 14. Inthe third example, object arrangement data is decoded from an additionalcode added to a surface of the real object in association with thedetected recognition target.

When referring to FIG. 15C, first, the recognition unit 160 calculatesrelative arrangement of the image processing device 100 to therecognized real object on the basis of a result of matching of an imagefeature value extracted from the input image or a pattern included inthe input image with feature data included in the recognition dictionarydata (Step S112).

Then, the recognition unit 160 determines arrangement of the additionalcode in the input image with the use of the additional code arrangementdata. included in the recognition dictionary data (Step S114).

Next, the recognition unit 160 decodes object arrangement data encodedin the additional code and therefore acquires the object arrangementdata indicating geographical arrangement of the real object (Step S120).The recognition unit 160 may deform, for example, the input image sothat the surface to which the additional code is added faces the inputimage and then apply recognition processing for reading the additionalcode to a partial image including the additional code. Then, therecognition unit 160 stores the acquired object arrangement data in theobject arrangement DB 170.

Next, the recognition unit 160 determines geographical arrangement ofthe image processing device 100 on the basis of the geographicalarrangement of the real object indicated by the acquired objectarrangement data and the relative arrangement of the image processingdevice 100 to the real object (Step S122).

(3-1) Destination Direction Determination Processing—First Example

FIG. 16A is a flowchart showing a first example of a detailed flow ofthe destination direction determination processing shown in FIG. 14. Inthe first example, the direction toward the destination is determined onthe basis of a geographical position of the destination and geographicalarrangement of the terminal.

When referring to FIG. 16A, first, the control unit 180 determines oneor more destinations to be navigated (Step S142). For example, thecontrol unit 180 may determine destinations selected by the user astargets to be navigated via a user interface such as the interfaceexemplified in any one of FIG. 12A to FIG. 12C. Instead of this, thecontrol unit 180 may automatically determine, as a target to benavigated, one or more spots existing in the vicinity thereof, a spotselected in accordance with a route of navigation, or a spot selectedfor advertisement.

Next, the control unit 180 acquires geographical positions of thedetermined destinations from the object arrangement data stored in theobject arrangement DB 170 (Step S144).

Next, the control unit 180 calculates directions toward the destinationsin the screen coordinate system of the image processing device 100 onthe basis of the acquired geographical positions of the destinations andthe geographical arrangement of the image processing device 100 (StepS148).

(3-2) Destination Direction Determination Processing—Second Example

FIG. 16B is flowchart showing a second example of the detailed flow ofthe destination direction determination processing shown in FIG. 14. Inthe second example, the direction toward the destination is determinedon the basis of a relative position of the destination to the realobject and relative arrangement of the terminal thereto.

When referring to FIG. 16B, first, the control unit 180 determines oneor more destinations as targets to be navigated in the same way as thefirst example (Step S142).

Next, the control unit 180 acquires the relative positions of thedetermined destinations to the real object from the object arrangementdata stored in the object arrangement DB 170 (Step S146).

Next, the control unit 180 calculates directions toward the destinationsin the screen coordinate system of the image processing device 100 onthe basis of the acquired relative positions of the destinations and therelative arrangement of the image processing device 100 (Step S150).

3. Application Examples 3-1. Stamp Rally

The technique according to the present disclosure is applicable tovarious uses. The use of the technique for a stamp rally will be hereindescribed as an example. The stamp rally is an event in which a usergenerally visits a plurality of spots sharing some theme in turn andimpresses a stamp provided in each spot on a stamp card so as to enjoycollecting stamps or obtain benefits based on a collection result.Instead of impressing a stamp on a stamp card, there is a method inwhich a user captures an image of a mark provided in each spot to provethat the user has visited each spot.

In such a stamp rally, the technique according to the present disclosurecan be used for guiding the user to the next spot to be visited. FIG. 17is an explanatory view illustrating some examples of display objectsthat can be displayed in an application example of the stamp rally. Adisplay object N21 and an auxiliary display object J21 are superimposedon an output image Im21 illustrated in a left part of FIG. 17. Thedisplay object N21 indicates a direction toward the next spot in thestamp rally from a current location. The auxiliary display object J21 isan icon expressing the next spot serving as a destination.

A real object 40 is projected onto an output image Im22 illustrated in aright part of FIG. 17. The real object 40 is a poster posted in a spotof the stamp rally. That is, the user reaches a single spot at thispoint and then heads for the next spot. A recognition target 41 isprinted on a printed surface of the poster 40. The recognition unit 160of the image processing device 100 recognizes relative arrangement ofthe image processing device 100 to the poster 40 by executing imagerecognition of the recognition target 41. Then, the control unit 180determines a direction toward the next spot with the use of the relativearrangement of the image processing device 100 and object arrangementdata acquired regarding the poster 40. A display object N22 and anauxiliary display object J21 are superimposed on the output image Im22.The auxiliary display object J21 is emphasized to notify the user thathe/she has reached the spot where the poster 40 is posted. The displayobject N22 indicates the direction toward the next spot determined onthe basis of the image recognition.

In the use of the technique for the stamp rally, a recognition targetcommon to the plurality of spots and additional codes for identifyingthe individual spots may be prepared. Instead of this, differentrecognition targets may be prepared in the plurality of spots.

3-2. Use of HMD

As described above, the technique according to the present disclosuremay be achieved with the use of an HMD terminal. FIG. 18 is anexplanatory view illustrating a modification example of an imageprocessing device. In the example of FIG. 18, an image processing device200 is an eyeglass-type HMD terminal mounted on a user's head. The imageprocessing device 200 includes a casing 201, a camera 202, a contactsurface 206, and a pair of screens 210 a and 210 b. The casing 201 has aframe supporting the screens 210 a and 210 b and so-called templespositioning at temporal regions of the user. The temples include somemodules for image processing, such as a memory and a processor. Thosemodules have functions equivalent to the various logical functions ofthe image processing device 100 shown in FIG. 5. The camera 202 isarranged so that an optical axis of a lens thereof is substantiallyparallel to gaze of the user and is used for capturing an image. Thecontact surface 206 is a surface for detecting touch by the user and isused for allowing the image processing device 200 to accept input fromthe user. The screens 210 a and 210 h are see-through or non-see-throughscreens arranged in front of a left eye and a right eye of the user.

FIG. 19 is an explanatory view illustrating some examples of displayobjects that can be displayed in the modification example of FIG. 18.When referring to FIG. 19, a display object N31, a display object H31,and an auxiliary display object J31 are displayed on the screen of theimage processing device 200. The display object N31 is a navigationobject indicating a direction toward a destination from a currentlocation. The display object H31 is an object expressing a horizontalsurface. The auxiliary display object J31 is an object indicating adetection position of a recognition target in an input image. Theauxiliary display object J31 may be a static icon or animation. In theexample of FIG. 19, the recognition target 11 of the real object 10 isdetected.

In the use of the HMD, by displaying the navigation display object in anend portion of the screen as illustrated in the example of FIG. 19, itis possible to safely provide a navigation service without obstructingvisibility of the user. A user interface for, for example, selecting adestination may be displayed on the screens 210 a and 210 b or may bedisplayed on a screen of another device (e.g., a smartphone held by theuser) linked with the image processing device 200.

3-3. Link between a Plurality of Devices

The technique according to the present disclosure may be achieved bylinking a plurality of devices with one another. For example, theabove-mentioned functions of the recognition unit 160 and the controlunit 180 may be partially executed by a device that is physicallydifferent from the image processing device 100 or 200.

FIG. 20 is an explanatory view illustrating a link between a pluralityof devices. FIG. 20 illustrates the image processing device 100 and aserver device 300 communicating with the image processing device 100.The server device 300 may be arranged in a personal network constructedin the vicinity of a user or a home network or may be arranged in aremote network such as the Internet. The image processing device 100transmits, for example, an input image to the server device 300 (SIG1).The server device 300 is a device having the functions of therecognition unit 160 and the control unit 180 shown in FIG. 5. Theserver device 300 executes image recognition of the input image receivedfrom the image processing device 100 and recognizes a real objectincluding a recognition target. Then, the server device 300 transmitsinformation based on a result of the image recognition to the imageprocessing device 100 (SIG2). The information transmitted to the imageprocessing device 100 from the server device 300 may be a parameterindicating relative arrangement of the image processing device 100 tothe real object, a parameter indicating a direction toward a destinationof the user, or graphic data of a display object indicating thedirection toward the destination. The image processing device 100displays, on the screen, an output image on which the display objectindicating the direction toward the destination is superimposed with theuse of the information received from the server device 300. According tosuch configuration, even in the case where the image processing device100 only includes a small amount of a processing resource, it ispossible to provide a navigation service to the user.

4. Conclusion

An embodiment of the technique according to the present disclosure hasbeen described in detail with reference to FIG. 1 to FIG. 20. Accordingto the above-mentioned embodiment, relative arrangement of a terminalthat has captured an image to a real object is recognized by executingimage recognition of a visual recognition target that the real objectincludes, and a display object indicating a direction toward adestination is displayed on a screen of the terminal on the basis of therecognized relative arrangement. Therefore, it is possible to providenavigation toward a destination to a user without depending on apositioning module.

As an example, the destination may be selected by the user via a screendisplaying a list or map of destination candidates associated with thecaptured real object. According to such a configuration, a main spotexisting in the vicinity of the real object including the recognitiontarget can be easily selected by the user as a destination. Further, asan application example, in the case where the user captures an image ofa poster on which an image of an advertised product is printed, a nearbystore where the advertised product is sold can be selected by the userto guide the user to the store. Instead of this, the destination may beselected by the user in advance. Further, one or more destinations maybe automatically selected.

As an example, the direction toward the destination can be determined onthe basis of relative arrangement of the terminal, geographicalarrangement of the real object, and a geographical position of thedestination. Because the geographical arrangement of the real object andthe geographical position of the destination are not normally changed,according to such a configuration, it is possible to appropriatelydetermine the direction toward the destination with the use ofarrangement of the terminal that is dynamically recognized and datadefined in advance. As another example, the direction toward thedestination can be determined on the basis of the relative arrangementof the terminal and a relative position of the destination to the realobject. Also in this case, it is possible to appropriately determine thedirection toward the destination with the use of the arrangement of theterminal that is dynamically recognized and the data defined in advance.

In the case where data defining the arrangement of the real object orthe position of the destination is dynamically acquired from a dataserver, there is no need to distribute the data to each terminal inadvance, and therefore it is easy to introduce the above-mentionedmechanism. Meanwhile, in the case where the data defining thearrangement of the real object or the position of the destination isvisually encoded on a surface of the real object, it is also notnecessary to distribute the data to each terminal in advance, and,further, each terminal does not need to communicate with the dataserver. Therefore, it is possible to provide a navigation service to theuser even in a state in which neither a positioning module nor awireless communication module is usable.

Further, according to the above-mentioned embodiment, arrangement of theterminal is tracked with the use of sensor data from a sensor that theterminal includes, and the display object indicating the directiontoward the destination is continuously displayed on the screen. Thismakes it possible to continuously provide the navigation service to theuser while the user is moving.

Note that a series of control processing using each device described inthis specification may be realized by any one of software, hardware, anda combination of software and hardware. Programs configuring softwareare stored in advance in, for example, storage media (non-transitorymedia) provided inside or outside the devices. For example, each programis read into a random access memory (RAM) at the time of executing theprogram and is executed by a processor such as a CPU.

The processing described with reference to the flowcharts in thisspecification does not necessarily need to be executed in order shown inthe flowcharts. Some processing steps may be executed in parallel.Additional processing step may be employed and some processing steps maybe omitted.

Although the preferred embodiments of the present disclosure have beendescribed in detail with reference to the appended drawings, the presentdisclosure is not limited thereto. It should be understood by thoseskilled in the art that various modifications, combinations,sub-combinations and alterations may occur depending on designrequirements and other factors insofar as they are within the scope ofthe appended claims or the equivalents thereof.

Additionally, the present technology may also be configured as below

-   (1)

An image processing device including:

an image acquisition unit configured to acquire an image onto which areal object including a visual recognition target is projected;

a recognition unit configured to recognize relative arrangement of aterminal that has captured the image to the real object by executingimage recognition of the recognition target; and

a control unit configured to display a display object indicating adirection toward a destination of a user on a screen of the terminal onthe basis of the relative arrangement of the terminal recognized by therecognition unit.

The image processing device according to (1),

wherein the control unit displays a list or map of destinationcandidates associated with the real object on the screen so as to allowthe user to select the destination.

-   (3)

The image processing device according to (1),

wherein the destination is selected by the user in advance.

-   (4)

The image processing device according to any one of (1) to (3),

wherein, in a case where a single destination is not selected by theuser, the control unit displays, on the screen, a plurality of displayobjects indicating respective directions toward a plurality ofdestination candidates associated with the real object.

-   (5)

The image processing device according to any one of (1) to (4), whereinthe control unit displays, on the screen, an auxiliary display objectindicating a detection position of the recognition target in the image.

-   (6)

The image processing device according to any one of (1) to (5),

wherein the display object indicates the direction along a lineardirection or nonlinear route toward the destination.

-   (7)

The image processing device according to any one of (1) to (6),

wherein the control unit determines the direction to be indicated by thedisplay object on the basis of the relative arrangement of the terminal,geographical arrangement of the real object, and a geographical positionof the destination.

-   (8)

The image processing device according to any one of (1) to (6),

wherein the control unit determines the direction to be indicated by thedisplay object on the basis of the relative arrangement of the terminaland a relative position of the destination to the real object.

-   (9)

The image processing device according to any one of (1) to (8),

wherein the control unit continuously displays the display object on thescreen by tracking arrangement of the terminal with use of sensor datafrom a sensor that the terminal includes.

-   (10)

The image processing device according to (9),

wherein, in a case where a positioning module configured to measure ageographical position of the terminal is usable, the control unitcorrects the arrangement of the tracked terminal with use of positioningdata from the positioning module.

-   (11)

The image processing device according to (7),

wherein the geographical arrangement of the real object is indicated byarrangement data acquired from a data server.

-   (12)

The image processing device according to (7),

wherein the geographical arrangement of the real object is decoded fromthe recognition target or an additional code on a. surface of the realobject associated with the recognition target.

-   (13)

The image processing device according to (8),

wherein the relative position of the destination is indicated byarrangement data acquired from a data server.

-   (14)

The image processing device according to (8),

wherein the relative position of the destination is decoded from therecognition target or an additional code on a surface of the real objectassociated with the recognition target.

-   (15)

The image processing device according to any one of (1) to (14),

wherein the image processing device is the terminal.

-   (16)

The image processing device according to any one of (1) to (14),

wherein the image processing device is a server device communicated withthe terminal.

(17)

An image processing method executed by an image processing device, theimage processing method including:

acquiring an image onto which a real object including a visualrecognition target is projected;

recognizing relative arrangement of a terminal that has captured theimage to the real object by executing image recognition of therecognition target; and

displaying a display object indicating a direction toward a destinationof a user on a screen of the terminal on the basis of the recognizedrelative arrangement of the terminal.

-   (18)

A program causing a computer that controls an image processing device tofunction as:

an image acquisition unit configured to acquire an image onto which areal object including a visual recognition target is projected;

a recognition unit configured to recognize relative arrangement of aterminal that has captured the image to the real object by executingimage recognition of the recognition target; and

a control unit configured to display a display object indicating adirection toward a destination of a user on a screen of the terminal onthe basis of the relative arrangement of the terminal recognized by therecognition unit.

REFERENCE SIGNS LIST

-   10 real object-   11 recognition target-   100, 200 image processing device-   140 image acquisition unit-   160 recognition unit-   180 control unit-   171 a, b object arrangement data

1. An image processing device comprising: an image acquisition unitconfigured to acquire an image onto which a real object including avisual recognition target is projected; a recognition unit configured torecognize relative arrangement of a terminal that has captured the imageto the real object by executing image recognition of the recognitiontarget; and a control unit configured to display a display objectindicating a direction toward a destination of a user on a screen of theterminal on the basis of the relative arrangement of the terminalrecognized by the recognition unit.
 2. The image processing deviceaccording to claim 1, wherein the control unit displays a list or map ofdestination candidates associated with the real object on the screen soas to allow the user to select the destination.
 3. The image processingdevice according to claim 1, wherein the destination is selected by theuser in advance.
 4. The image processing device according to claim 1,wherein, in a case where a single destination is not selected by theuser, the control unit displays, on the screen, a plurality of displayobjects indicating respective directions toward a plurality ofdestination candidates associated with the real object.
 5. The imageprocessing device according to claim 1, wherein the control unitdisplays, on the screen, an auxiliary display object indicating adetection position of the recognition target in the image.
 6. The imageprocessing device according to claim 1, wherein the display objectindicates the direction along a linear direction or nonlinear routetoward the destination.
 7. The image processing device according toclaim 1, wherein the control unit determines the direction to beindicated by the display object on the basis of the relative arrangementof the terminal, geographical arrangement of the real object, and ageographical position of the destination.
 8. The image processing deviceaccording to claim 1, wherein the control unit determines the directionto be indicated by the display object on the basis of the relativearrangement of the terminal and a relative position of the destinationto the real object.
 9. The image processing device according to claim 1,wherein the control unit continuously displays the display object on thescreen by tracking arrangement of the terminal with use of sensor datafrom a sensor that the terminal includes.
 10. The image processingdevice according to claim 9, wherein, in a case where a positioningmodule configured to measure a geographical position of the terminal isusable, the control unit corrects the arrangement of the trackedterminal with use of positioning data from the positioning module. 11.The image processing device according to claim 7, wherein thegeographical arrangement of the real object is indicated by arrangementdata acquired from a data server.
 12. The image processing deviceaccording to claim 7, wherein the geographical arrangement of the realobject is decoded from the recognition target or an additional code on asurface of the real object associated with the recognition target. 13.The image processing device according to claim 8, wherein the relativeposition of the destination is indicated by arrangement data acquiredfrom a data server.
 14. The image processing device according to claim8, wherein the relative position of the destination is decoded from therecognition target or an additional code on a surface of the real objectassociated with the recognition target.
 15. The image processing deviceaccording to claim 1, wherein the image processing device is theterminal.
 16. The image processing device according to claim 1, whereinthe image processing device is a server device communicated with theterminal.
 17. An image processing method executed by an image processingdevice, the image processing method comprising: acquiring an image ontowhich a real object including a visual recognition target is projected;recognizing relative arrangement of a terminal that has captured theimage to the real object by executing image recognition of therecognition target; and displaying a display object indicating adirection toward a destination of a user on a screen of the terminal onthe basis of the recognized relative arrangement of the terminal.
 18. Aprogram causing a computer that controls an image processing device tofunction as: an image acquisition unit configured to acquire an imageonto which a real object including a visual recognition target isprojected; a recognition unit configured to recognize relativearrangement of a terminal that has captured the image to the real objectby executing image recognition of the recognition target; and a controlunit configured to display a display object indicating a directiontoward a destination of a user on a screen of the terminal on the basisof the relative arrangement of the terminal recognized by therecognition unit.